Just listened to @cedricchin.bsky.social on the Analytics Engineering pod with Tristan (roundup.getdbt.com/p/data-as-an...) I have some thoughts and it basically is about heuristics. As a now content marketer (ish?), I'm thinking a lot about The Practice: the core loop that you do to get better.
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I've been curious about The Practice so I built my own little dashboard, tracking my tweets, engagement, and ultimately clicks through to my website. The theory is that the core loop is more tweets = more clicks. twitter.evidence.app
As such, data teams are often reduced to ad-hoc "make work" instead of The Practice. It is very obvious to me that I should publish more. I simple don't want to do it. (the irony here is perhaps by saying this aloud I _may_ do it)
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Ok, longer example of what finding controllable levers might look like: bsky.app/profile/cedr...
Maybe one intuitive one: - Commoncog can be modelled like a Substack: people read, sign up for the free newsletter, stick around for awhile and then purchase a membership after reading the free newsletter for a bit. But how true is this? And what data would you use to find out?